Novelty-driven use
AI is tested without distinguishing appropriate tasks, risks, or success criteria.
Productivity with human review
Generative AI productivity workshop for teams
The group identifies suitable tasks, designs instructions, compares outputs, and establishes controls before introducing generative AI into a workflow.
AI can produce errors, bias, or inappropriate content. The workshop does not authorize sensitive-data uploads or promise savings or accuracy; it teaches teams to decide, verify, and escalate.
Signals of need
When adoption moves faster than shared criteria
It is useful for teams already experimenting or planning to start with clear limits, concrete use cases, and human accountability.
Unverified outputs
A convincing draft is accepted without checking sources, figures, tone, or instructions.
Exposed data
There is no agreement on which information may enter external tools.
Isolated prompts
Each person improvises and learning does not become a repeatable workflow.
Practice outcomes
A workflow that shows where a person intervenes
Tools and cases are agreed according to policies, access, and the organization’s level of risk.
Use-case map
Tasks prioritized by usefulness, risk, involved information, and review needs.
Instruction template
Reusable context, objective, constraints, format, and quality criteria.
Review checklist
Steps for checking facts, calculations, sources, bias, privacy, and tone.
Supervised workflow
A draft, validation, approval, and recording process with explicit responsibilities.
Adaptable content
Practice with visible usefulness and limits
Available virtually or in person in Panama; virtual for other countries. Conditions are confirmed in the proposal.
- 01 How generative AI works and where it fails.
- 02 Task selection and definition of criteria.
- 03 Instruction design and iteration.
- 04 Verification, privacy, and intellectual property.
- 05 Human-reviewed workflows and usage agreements.
Prepare the proposal
Choose real tasks without exposing information
We can work with anonymized examples or fictional data that represents the process.
Request a proposal and quote- Repetitive or drafting tasks to explore.
- Currently authorized tools.
- Types of data handled by the team.
- Roles, experience level, and existing controls.
Frequently asked questions
Which AI tool is used?
It is defined according to access, policies, and objectives. The proposal states whether practice uses a specific tool or principles transferable across platforms.
Can we use confidential information?
Sensitive or confidential information should not be uploaded without authorization, contracts, and appropriate controls. The workshop can use anonymized or fictional examples.
Does the workshop automate complete processes?
Not by default. It focuses on learning and designing supervised workflows. An integration or automation requires a separate technical scope.
Does it guarantee time savings?
No. The effect depends on the task, input quality, review, and adoption. The workshop helps define a test and criteria for evaluating usefulness and risk.
Is it suitable for people without experience?
Yes, when designed at an introductory level. It can also go deeper for teams already using these tools; the proposal avoids mixing incompatible needs.
The advantage is not accepting the first answer, but designing and verifying better
Tell us which tasks the team wants to improve and which data limits it must respect.